CMOs and marketing leaders know the old ecommerce funnel is on its last legs. Today, shopping has become an ambient activity – integrated into everyday digital behaviors rather than confined to a single journey. A consumer might stumble upon style inspiration while scrolling TikTok, quickly check reviews in a marketplace, and then complete the purchase in an app.
No one moves neatly from ‘awareness’ to ‘purchase’ anymore. Instead, shoppers leap between moments of intent across social feeds, marketplaces, apps, and even voice interfaces.
Now conversational AI and agentic assistants are accelerating this shift, collapsing discovery, consideration, and purchase into a single dialogue. For brands, this raises a clear challenge. To stay visible and relevant, they must be present in the spaces where customers are already engaging – not just at the point of sale, but much earlier in the journey. Otherwise, they risk being left out of the picture completely.
Two sides of the same challenge
Top retailers are juggling two big priorities right now. Upstream visibility: ensuring products and propositions are discoverable, differentiated from competitors, and easily understood by AI systems, from search and social apps to aggregators and voice assistants. Clear, structured, AI-friendly product information and tailored value by channel help guide customers to your brand before third-party platforms capture the interaction – and the data.
Then there’s downstream relevance: keeping customers engaged once they’ve found you. In a sea of digital lookalikes and algorithmic feeds, you need to offer smart, human feeling guidance – dynamic offers, adaptive assistance and community perks – that build deeper connections and genuine loyalty.
Reclaim the conversation
In practice, this means mixing high quality data with a concierge-style service on your own channels. To meet expectations, brands need a deep understanding of each customer’s context, need states, and engagement triggers. Shoppers still want to speak to agents for complex or personal purchases – beauty routines, fitness gear or kitchen appliances – but they also expect AI to suggest options instantly and accurately.
- Data first: Blend behavioral, psychographic and geospatial signals, not just transactions, so assistants can tailor recommendations in real time.
- Contextual guidance: Treat each shopper’s ask as a story (think “glowing skin for a summer wedding” or “pregnancy safe SPF for humid climates”) –not a one‑ item search. Cross reference history and product info to build multi‑step routines, justifying every choice and reprioritizing on the fly.
- Seamless continuity: A suggestion you spot in a feed should reappear, pre‑filtered by your size or budget, in your app or at an in‑store smart mirror, without you having to start over.
That persistent thread of context doesn’t just follow the shopper – it remembers, adapts and reappears, turning fleeting curiosity into habit, and habits into loyalty.
Product experience as the new storefront
With seamless omnichannel now the basic expectation for every retailer, guidance can’t wait until the product page. Forward thinking brands surface expert advice earlier – in chat windows, voice interactions, or shopping feeds. Shaping each recommendation before a customer clicks through. The product page then becomes a prism, sharpening that context into clear, tailored support.
Agents, aggregators and the loyalty advantage
Agentic commerce and aggregator-style platforms like Google, TikTok, and Apple aren’t zero sum threats. They’re extending their reach from search and social into transactions, compressing the customer journey and pushing brands further upstream. But brands that feed aggregators with clean APIs and reserve membership perks, community features, and dedicated assistance for their own channels are already seeing healthier margins and stickier customers.
Owning both the insight (zero- and first-party data) and the engagement layer reduces reliance on upstream platforms. It protects margins and keeps customer relationships – and the loyalty they bring – firmly in your own ecosystem.
Agentic shopping assistants are fast becoming the silent engine that powers seamless, personalized retail journeys. By blending data driven insights with human warmth and transforming every product interaction into a dynamic, context aware experience, brands can seize back their story, protect margins and nurture loyalty that lasts. Embedding agentic AI isn’t just the next step, it’s the only way to keep pace in an AI driven marketplace.
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